Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/43949
Campo DC Valoridioma
dc.contributor.authorVásquez, José L.en_US
dc.contributor.authorDutta, Malay Kishoreen_US
dc.contributor.authorTravieso González, Carlos Manuelen_US
dc.contributor.authorRavelo García, Antonio Gabrielen_US
dc.contributor.authorAlonso Hernández, Jesús Bernardinoen_US
dc.date.accessioned2018-11-21T19:05:40Z-
dc.date.available2018-11-21T19:05:40Z-
dc.date.issued2020en_US
dc.identifier.issn0941-0643en_US
dc.identifier.urihttp://hdl.handle.net/10553/43949-
dc.description.abstractThe biometric identification is an important topic with applications in different fields. Among the different modalities, based-handwriting biometric is a very useful and extended modality, and the most known one is the signature. The use of handwritten texts is researched presenting a biometric system for identifying writers from their handwritten words. A set of feature-based graphometric information has been extracted from off-line handwritten words to implement an automatic biometric approach. Given the handwritten nature of the information and its great variability, a feature selection based on principal component analysis and neural network classifier has been proposed. A fusion block based on neural networks has been added in order to reduce the effect of the data variability due to an increase and stabilization of the accuracy. A dataset composed of 100 writers have been used for the experiments. A holdout cross-validation was applied and the accuracy reached between 99.80% and 100%en_US
dc.languagespaen_US
dc.publisher0941-0643-
dc.relationGeneracion de Un Marco Unificado Para El Desarrollo de Patrones Biometricos de Comportamientoen_US
dc.relation.ispartofNeural Computing and Applicationsen_US
dc.sourceNeural Computing and Applications [ISSN 0941-0643], n. 32(20), p. 15733–15746en_US
dc.subject3307 Tecnología electrónicaen_US
dc.subject.otherBased-handwriting recognition Word holistic analysis Graphometric features Off-line system Biometric identificationen_US
dc.titleWriter identification approach by holistic graphometric features using off-line handwritten wordsen_US
dc.typeinfo:eu-repo/semantics/Articleen_US
dc.typeArticleen_US
dc.identifier.doi10.1007/s00521-018-3461-xen_US
dc.identifier.scopus85044517820-
dc.contributor.authorscopusid35766960600-
dc.contributor.authorscopusid9634135600-
dc.contributor.authorscopusid24774957200-
dc.contributor.authorscopusid35291803600-
dc.contributor.authorscopusid57196462914-
dc.description.lastpage14en_US
dc.identifier.issue20-
dc.description.firstpage1en_US
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Artículoen_US
dc.utils.revisionen_US
dc.date.coverdateMarzo 2018en_US
dc.identifier.ulpgcen_US
dc.contributor.buulpgcBU-INGen_US
dc.description.sjr0,713
dc.description.jcr5,606
dc.description.sjrqQ1
dc.description.jcrqQ1
dc.description.scieSCIE
item.fulltextSin texto completo-
item.grantfulltextnone-
crisitem.author.deptGIR IDeTIC: División de Procesado Digital de Señales-
crisitem.author.deptIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.deptDepartamento de Señales y Comunicaciones-
crisitem.author.deptGIR IDeTIC: División de Procesado Digital de Señales-
crisitem.author.deptIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.deptDepartamento de Señales y Comunicaciones-
crisitem.author.deptGIR IDeTIC: División de Procesado Digital de Señales-
crisitem.author.deptIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.deptDepartamento de Señales y Comunicaciones-
crisitem.author.orcid0000-0002-4621-2768-
crisitem.author.orcid0000-0002-8512-965X-
crisitem.author.orcid0000-0002-7866-585X-
crisitem.author.parentorgIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.parentorgIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.parentorgIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.fullNameTravieso González, Carlos Manuel-
crisitem.author.fullNameRavelo García, Antonio Gabriel-
crisitem.author.fullNameAlonso Hernández, Jesús Bernardino-
crisitem.project.principalinvestigatorFerrer Ballester, Miguel Ángel-
Colección:Artículos
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